Motion picture encoding device and motion picture encoding processing program

ABSTRACT

The minimum Sum of Absolute Differences obtained by a motion vector search roughly judges the magnitude of quantization error by whether or not exceeding a predetermined threshold value. When the quantization error is lower, whether or not visually noticeable noise exists in some of the pixels of the current macroblock is judged based on the amount of flatness and noise detected in each of the 4x4 pixel blocks of the current macroblock partitioned into 16 sub-macroblocks. If there is visually noticeable noise, intra-frame coding is selected. When the quantization error is higher, whether or not visually noticeable noise exists in the current macroblock is judged while considering the magnitude of the motion vector. If there is visually noticeable noise, intra-frame coding is selected.

CROSS-REFERENCE TO RELATED APPLICATION

This is a Continuation Application of PCT application No.PCT/JP2005/020689 filed 4 Nov. 2005.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to a motion picture encoding device andassociated motion picture encoding processing program which compressesmotion images in view of human visual characteristics.

2. Description of the Related Art

In applications, such as digital television broadcasting, Internet videostreaming, DVD, etc., a coding technique with a high compression ratiois required because transmission bandwidth and storage capacity arelimited. For instance, an H.264 standard is known as a high compressioncoding technique which meets such a requirement. Hereinafter, an exampleof a motion picture encoding device based on the H.264 standard will bedescribed with reference to FIG. 9˜FIG. 15.

FIG. 9 is a block diagram showing an outline configuration of a motionpicture encoding device. A subtracter 10 generates a prediction errorsignal indicating luminance difference by subtracting the predictionblock pixel value from the current block pixel value. Aquantization/transform section 11 applies integer DCT (Discrete CosineTransform) to the prediction error signal outputted from the subtracter10 and a transform coefficient is obtained. Furthermore, this transformcoefficient is quantized with a predetermined quantization width andcoefficient data is generated. An entropy encoder section 12 performsentropy encoding of the coefficient data generated by thequantization/transform section 11 with Exponential-Golomb codes based onVariable Length Codes (VLC) and applies CABAC (Context-based AdaptiveBinary Arithmetic Coding).

An inverse quantization/inverse transform section 13, an adder 14, aloop filter 15 and a frame memory 16 form a local decoding portion. Thelocal decoding portion applies inverse quantization and inverse integerDCT to the coefficient data generated in the quantization/transformsection 11, adds the previous prediction block pixel value and generatesa decoded image. Further, after the local decoding portion reduces blocknoise by performing loop filtering to the generated decoded image, it istemporarily stored in the frame memory 16. An intra-frame predictionsection 17 calculates the intra-frame prediction block value using thedecoded image read out from the frame memory 16.

A motion detection section 18 detects the motion vector of the currentblock. A motion compensation section 19 calculates the inter-frameprediction block value by performing motion compensation to thereference frame (decoded image read out from the frame memory 16)corresponding to the motion vector detected by the motion detectionsection 18. A selector 20 selects either the intra-frame predictionblock value calculated by the intra-frame prediction section 17 or theinter-frame prediction block value calculated by the motion compensationsection 19 corresponding to instructions of a determination section 21and provides the respective value to the subtracter 10. Thedetermination section 21 estimates the amount of coded data at the timeof intra-frame predictive coding as well as the amount of coded data ofinter-frame predictive coding and directs the selector 20 to select thecoding mode with the smaller amount of coded data.

Next, the operations of the encoding determination processing of themotion picture encoding device according to the above-mentionedconfiguration will be explained with reference to FIGS. 10 through 15.In the following, after first explaining the operations of the “encodingdetermination processing”, the separate operations of the“inter-prediction processing”, the “intra-prediction processing” and the“inter D&Q processing” which encompass the encoding determinationprocessing will be outlined.

(1) Operations of the Encoding Determination Processing

FIG. 10 is a flow chart showing operations of the encoding determinationprocessing executed for each input macroblock. This processing isinitiated by inputting a 16×16 macroblock image (hereinafter, denoted as“input macroblock”). In Step SF1, each section of the device isinitialized. Secondly, in Step SF2, the amount of coded data at the timeof inter-frame predictive coding is estimated by the execution ofinter-prediction processing. Next, in Step SF3, the amount of coded datafor intra-frame predictive coding is estimated and further intra-framecoding (integer DCT, quantization, inverse quantization and inverseinteger DCT) is performed by the execution of intra-predictionprocessing. Then, in Step SF4, the minimum Sum of Absolute DifferencesSADinter (this is equivalent to the amount of coded data atinter-prediction) obtained in the above-mentioned Step SF2 is judged asto whether or not greater than the minimum Sum of Absolute DifferencesSADintra (this is equivalent to the amount of coded data atintra-prediction) obtained in the above-mentioned Step SF3.

When the amount of coded data at inter-prediction is greater than theamount of coded data at intra-prediction, the judgment result becomes“YES” and completes this processing. Accordingly, in this case themotion picture encoding device performs video compression with theintra-frame coding executed in the above-mentioned Step SF3.

Conversely, when the amount of coded data at the time ofinter-prediction is less than the amount of coded data at the time ofintra-prediction, the judgment result of the above-mentioned Step SF4becomes “NO” and the flow advances to Step SF5, which executes inter D&Qprocessing to perform inter-frame coding (integer DCT, quantization,inverse quantization and inverse integer DCT). Accordingly, in this casethe motion picture encoding device performs video compression withinter-frame coding.

(2) Operations of the Inter-Prediction Processing

Next, the operations of the inter-prediction processing will beexplained with reference to FIGS. 11 through 13. When processing hasbeen executed via the above-mentioned Step SF2 (refer to FIG. 10), theflow advances to Step SG1 shown in FIG. 11 and judges whether or notprocessing has been completed for all of the 4×4 pixel blocks of a 16×16pixel macroblock partitioned into 16 sub-macroblocks. When processingfor all the blocks has been completed, the judgment result becomes “YES”and this processing is completed. Otherwise, the judgment result becomes“NO” and the flow advances to Step SG2.

Additionally, with regard to the association between a 16×16 pixelmacroblock and the 4×4 pixel blocks, as illustrated in FIG. 13, the 4×4pixel blocks within the macroblock are denoted by the block number n.

Next, in Step SG2, a 4×4 pixel block processing object (hereinafter,denoted as the “current block”) pixel value Org is calculated.Subsequently, in Step SG3, MV search processing is executed whichsearches for a motion vector (MV). In the MV search processing, as shownin Steps SH1˜SH3 of FIG. 12, correlation of the current block iscalculated while shifting pixels in the center of the reference blockwithin a search region of the reference frame. Amongst those pixels, thepixel position with the highest correlation (similarity) is extracted asthe best motion vector.

MV search processing estimates the correlation of the reference blockand the current block with the Sum of Absolute Differences SAD betweenboth blocks. Accordingly, when the pixel position of the highestcorrelation is extracted as the motion vector, the Sum of AbsoluteDifferences SAD represents the minimum. The minimum Sum of AbsoluteDifferences SADinter is used for Step SF4 (refer to FIG. 10) for judgingwhether or not to execute inter D&Q processing.

(3) Operations of the Intra-Prediction Processing

Next, the operations of the intra-prediction processing will beexplained with reference to FIG. 14. When inter-prediction processinghas been executed via Step SF3 mentioned above (refer to FIG. 10), theflow advances to Step SJ1 shown in FIG. 14. In Step SJ1, whether or notprocessing has been completed for all 4×4 pixel blocks of a 16×16 pixelmacroblock partitioned into 16 sub-macroblocks is judged. Whenprocessing for all the blocks has been completed, the judgment resultbecomes “YES” and this processing is completed. Otherwise, the judgmentresult becomes “NO” and the flow advances to Step SJ2. In Step SJ2, forexample in intra 4×4 mode, a prediction block value for each modeamongst a total of nine optional prediction modes is calculated, whichare referred to as mode0˜mode8.

Subsequently, in Steps SJ3˜SJ5, the current block Sum of AbsoluteDifferences SAD and the prediction block value for each of theabove-mentioned modes is calculated, respectively, and the minimum Sumof Absolute Differences SADintra is obtained from within these results.The minimum Sum of Absolute Differences SADintra is used for Step SF4(refer to FIG. 10) for judging whether or not to execute inter D&Qprocessing.

When the minimum Sum of Absolute Differences SAD has been determined,the judgment result in Step SJ3 becomes “YES” and the flow advances toStep SJ6. In Step SJ6, intra-frame coding of the current block isperformed using the mode which produces the minimum Sum of AbsoluteDifferences SADintra. Hereinafter, the above-mentioned Steps SJ1˜SJ6 arerepeated until processing for all blocks is completed.

(4) Operations of the Inter D&Q Processing

Next, the operations of the inter D&Q processing will be explained withreference to FIG. 15. When processing has been executed via Step SF5mentioned above (refer to FIG. 10), the flow advances to Step SK1 shownin FIG. 15 and whether or not processing has been completed for all ofthe 4×4 pixel blocks of a 16×16 pixel macroblock partitioned into 16sub-macroblocks is judged. If processing has not been completed for allthe blocks, the judgment result becomes “NO” and the flow advances toStep SK2.

In Steps SK2˜SK6, the inter-frame prediction block value ref (i,j) issubtracted from the current block pixel value Org (i,j) and proceeds toexecute transform processing (integer DCT), quantization processing Q,inverse quantization processing Q-1 and inverse transform processing(inverse integer DCT-1) to the produced prediction error signal. Then,the flow advances to Step SK7. Because of the stepping performed in theinter-frame prediction block value ref (i,j), processing will revert tothe above-mentioned Step SK1. Hereafter, the above-mentioned StepsSK1˜SK7 are repeated until processing for all the blocks is completed.

As described above, the motion picture encoding device performs videocompression by selectively using either intra-frame coding bycorrelation in a spatial domain or inter-frame coding by correlation ina temporal domain. A magnitude comparison is executed for each inputmacroblock between the minimum Sum of Absolute Differences SADinter thatis equivalent to the amount of coded data at the time ofinter-prediction and the minimum Sum of Absolute Differences SADintrathat is equivalent to the amount of coded data at the time ofintra-prediction. The coding mode with the smaller Sum of AbsoluteDifferences SAD is selected and compression encoding is performed.

Apart from that, in order to obtain the minimum Sum of AbsoluteDifferences SADintra equivalent to the amount of coded data at the timeof intra-prediction, for example, when intra 4×4 mode is selected, it isnecessary to calculate the prediction block value for each mode amongsta total of nine optional prediction modes, which are referred to asmode0˜mode8. This situation causes an exponential increase in thecalculation amount. Furthermore, the coding technique by the H.264standard has been described in the conventional prior art, for example,as disclosed by Iain E. G. Richardson “H.264 and MPEG-4 VideoCompression: Video Coding for Next-generation Multimedia”, Publisher:John Wiley & Sons, Ltd. (December 2003, First Edition) “6.H.264/MPEG-4Part 10” (p159˜p223) (ISBN: 0470869607).

There are the following issues concerning motion picture encodingdevices which perform video compression by selectively using intra-framecoding and inter-frame coding mentioned above.

(a) In many cases intra-frame coding is not selected, except in a casewhere there is a noticeable difference between an inputted image ascompared with a reference image, for example, when a scene changes, whena motion vector has not been detected properly or when there is asubstantial luminance variation due to a camera flash, etc. For thisreason, there is a problem in that the complexity and number ofcalculations required for intra-prediction processing (refer to FIG. 14)is simply excessive.

(b) Because a coding determination is performed which uniquely selectseither intra-frame coding/inter-frame coding only by a magnitudecomparison of the amount of coded data, human visual characteristics arenot taken into consideration. This is commonly referred to as the HumanVisual System (HVS), the system by which a human eye and brain perceiveand interpret visual images. Therefore, there is the possibility ofinviting significantly reduced image quality that can easily developinto an image with noticeable noise (luma and chroma noise), such as inthe case of quantization error propagation being generated at the timeof a motion vector search whereby a fast search algorithm may become‘trapped’ in a local minimum giving a suboptimal result or during codingat a low bit rate whereby distortion increases the respectivequantization value. A local minimum is the concept of a minimum value ina defined section (area) of a block. For instance, this may not be thetrue global minimum value and is commonly referred to as a false minimumvalue (false minima).

Consequently, the present invention has been made in view of theabove-described circumstances with the purpose of providing a motionpicture encoding device and associated motion picture encodingprocessing program, wherein wasteful calculations will not be performedand coding modes can be determined at a faster speed in view of humanvisual characteristics.

Furthermore, the present invention aims at providing a motion pictureencoding device and motion picture encoding processing program which canrapidly stop quantization error propagation when ‘trapped’ in a localminimum as well as avoid reduced image quality.

SUMMARY OF THE INVENTION

In accordance with an aspect of the present invention according to claim1, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: a coding determination means for judging theexistence of a block image having visually noticeable noise whenperforming inter-frame coding for a block image of a partitionedmacroblock image to encode and selecting intra-frame coding if anapplicable block image exists.

In accordance with an aspect of the present invention according to claim2, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: a first coding determination means for judgingthe existence of a block image having visually noticeable noise whenperforming inter-frame coding for a block image of a partitionedmacroblock image to encode and selecting intra-frame coding if anapplicable block image exists; and a second coding determination meansfor judging the existence of a block image having visually noticeablenoise while considering the magnitude of a motion vector obtained byinter-frame prediction and selecting intra-frame coding if an applicableblock image exists.

In accordance with an aspect of the present invention according to claim3, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: an error estimation means for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a detection means for detecting flatness andquantization error for each block image when performing inter-framecoding for a block image of a partitioned macroblock image; a firstcoding determination means for judging the existence of a block imagehaving visually noticeable noise from the comparison of flatness andquantization error detected by the detection means when the estimatedquantization error by the error estimation means is less than apredetermined value and selecting intra-frame coding if an applicableblock image exists; and a second coding determination means for judgingthe existence of a block image having visually noticeable noise from theestimated quantization error when the estimated quantization error bythe error estimation means is greater than a predetermined value andselecting intra-frame coding if an applicable block image exists.

In accordance with an aspect of the present invention according to claim4, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: an error estimation means for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a first coding determination means fordetecting flatness and quantization error for each block image whenperforming inter-frame coding by a block image of a partitionedmacroblock image, judging the existence of a block image having visuallynoticeable noise from the comparison of detected flatness andquantization error when the estimated quantization error by the errorestimation means is less than a predetermined value and selectingintra-frame coding if an applicable block image exists; and a secondcoding determination means for judging the existence of a block imagehaving visually noticeable noise from an estimated quantization errorwhen the estimated quantization error by the error estimation means isgreater than a predetermined value and selecting intra-frame coding ifan applicable block image exists.

In accordance with an aspect of the present invention according to claim5, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: an error estimation means for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a first coding determination means forcalculating flatness of an entire macroblock image and judging theflatness as to whether or not there is visually noticeable noise whenthe estimated quantization error by the error estimation means is lessthan a predetermined value, wherein if there is no visually noticeablenoise selects inter-frame coding and conversely, if there is visuallynoticeable noise selects intra-frame coding; and a second codingdetermination means for judging whether or not visually noticeable noiseexists in a macroblock image from an estimated quantization error whenthe estimated quantization error by the error estimation means isgreater than a predetermined value, wherein if there is no visuallynoticeable noise selects inter-frame coding and conversely, if there isvisually noticeable noise selects intra-frame coding.

In accordance with another aspect of the present invention in claim 6dependent to any of claims 3 through 5, wherein the second codingdetermination means judges existence of a block image having visuallynoticeable noise while considering the magnitude of a motion vectorobtained by inter-frame prediction.

In accordance with a further aspect of the present invention in claim 7dependent to any of claims 3 through 5, wherein an assessment valueobtained by a motion vector search at the time of the inter-frameprediction is the Sum of Absolute Differences when detecting a motionvector with the highest correlation.

In accordance with an aspect of the present invention according to claim8, there is provided a motion picture encoding device which selectseither intra-frame coding or inter-frame coding and performs videocompression, comprising: a detection means for detecting the magnitudeof quantization error of an entire macroblock image, as well asdetecting flatness and quantization error for each block image whenperforming inter-frame coding by a block image of a partitionedmacroblock image; a first coding determination for judging the existenceof a block image having visually noticeable noise from the comparison ofdetected flatness and quantization error when a quantization error of anentire macroblock image detected by the detection means is less than apredetermined value and selecting intra-frame coding if an applicableblock image exists; and a second coding determination means for judgingthe existence of a block image having visually noticeable noise whileconsidering the magnitude of a motion vector obtained by inter-frameprediction when the quantization error of an entire macroblock imagedetected by the detection means is greater than a predetermined valueand selecting intra-frame coding if an applicable block image exists.

In accordance with an aspect of the present invention according to claim9, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: judging the existence of a block image havingvisually noticeable noise when performing inter-frame coding by a blockimage of a partitioned macroblock image to encode; and

selecting intra-frame coding if an applicable block image exists.

In accordance with an aspect of the present invention according to claim10, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: a first encoding determination process forjudging the existence of a block image having visually noticeable noisewhen performing inter-frame coding by a block image of a partitionedmacroblock image to encode and selecting intra-frame coding if anapplicable block image exists; and a second encoding determinationprocess for judging the existence of a block image having visuallynoticeable noise while considering the magnitude of a motion vectorobtained by inter-frame prediction and selecting intra-frame coding ifan applicable block image exists.

In accordance with an aspect of the present invention according to claim11, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: an error estimation process for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a detection process for detecting flatnessand quantization error for each block image when performing inter-framecoding by a block image of a partitioned macroblock image; a firstencoding determination process for judging the existence of a blockimage having visually noticeable noise from the comparison of flatnessand quantization error detected by the detection process when theestimated quantization error by the error estimation process is lessthan a predetermined value and selecting intra-frame coding if anapplicable block image exists; and a second encoding determinationprocess for judging the existence of a block image having visuallynoticeable noise from an estimated quantization error when the estimatedquantization error by the error estimation process is greater than apredetermined value and selecting intra-frame coding if an applicableblock image exists.

In accordance with an aspect of the present invention according to claim12, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: error estimation process for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a first encoding determination process fordetecting flatness and quantization error for each block image whenperforming inter-frame coding by a block image of a partitionedmacroblock image, judging the existence of a block image having visuallynoticeable noise from the comparison of detected flatness andquantization error when the estimated quantization error by the errorestimation process is less than a predetermined value and selectingintra-frame coding if an applicable block image exists; and a secondencoding determination process for judging the existence of a blockimage having visually noticeable noise from the estimated quantizationerror when the estimated quantization error by the error estimationprocess is greater than a predetermined value and selecting intra-framecoding if an applicable block image exists.

In accordance with an aspect of the present invention according to claim13, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: an error estimation process for estimating themagnitude of quantization error of an entire macroblock image to encodeusing an assessment value obtained by a motion vector search at the timeof inter-frame prediction; a first encoding determination process forcalculating flatness of an entire macroblock image and judging theflatness as to whether or not there is visually noticeable noise whenthe estimated quantization error by the error estimation process is lessthan a predetermined value, wherein if there is no visually noticeablenoise selects inter-frame coding and conversely, if there is visuallynoticeable noise selects intra-frame coding; and a second encodingdetermination process for judging whether or not visually noticeablenoise exists in a macroblock image from an estimated quantization errorwhen the estimated quantization error by the error estimation process isgreater than a predetermined value, wherein if there is no visuallynoticeable noise selects inter-frame coding and conversely, if there isvisually noticeable noise selects intra-frame coding.

In accordance with another aspect of the present invention in claim 14dependent to any of claims 11 through 13, wherein the second encodingdetermination process judges existence of a block image having visuallynoticeable noise while considering the magnitude of a motion vectorobtained by inter-frame prediction.

In accordance with a further aspect of the present invention in claim 15dependent to any of claims 11 through 13, wherein an assessment valueobtained by a motion vector search at the time of the inter-frameprediction is the Sum of Absolute Differences when detecting a motionvector with the highest correlation.

In accordance with an aspect of the present invention according to claim16, there is provided a motion picture encoding processing program whichselects either intra-frame coding or inter-frame coding and performsvideo compression, wherein the motion picture encoding processingprogram executes encoding determination processing by a processor,comprising the steps of: a detection process for detecting the magnitudeof quantization error of an entire macroblock image, as well as flatnessand quantization error for each block image when performing inter-framecoding by a block image of a partitioned macroblock image; a firstencoding determination process for judging the existence of a blockimage having visually noticeable noise from the comparison of detectedflatness and quantization error when the quantization error of an entiremacroblock image detected by the detection process is less than apredetermined value and selecting intra-frame coding if an applicableblock image exists; and a second encoding determination process forjudging the existence of a block image having visually noticeable noisewhile considering the magnitude of a motion vector obtained byinter-frame prediction when a quantization error of the entiremacroblock image detected by the detection process is greater than apredetermined value and selecting intra-frame coding if an applicableblock image exists.

According to the present invention described in claims 1 and 9, whenperforming inter-frame coding by a block image of a partitionedmacroblock image to encode intra-frame coding is selected if a blockimage has visually noticeable noise. Conventionally, although thefrequency of usage is low, the immense number of calculations inintra-prediction processing (refer to FIG. 14) which are executed forcoding determination can be omitted, whereby wasteful calculations willnot be performed and coding modes can be determined at a faster speed inview of human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable noise, quantization error propagation when ‘trapped’in a local minimum can be rapidly stopped to avoid reduction in imagequality.

According to the present invention described in claims 2 and 10, whenperforming inter-frame coding by a block image of a partitionedmacroblock image to encode intra-frame coding is selected if a blockimage has visually noticeable noise and intra-frame coding is selectedif a block image has visually noticeable noise while considering themagnitude of a motion vector obtained by inter-frame prediction.Conventionally, although the frequency of usage is low, the excessivenumber of calculations in intra-prediction processing (refer to FIG. 14)which are performed for coding determination can be omitted, wherebywasteful calculations will not be performed and coding modes can bedetermined at a faster speed in view of human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable noise, quantization error propagation when ‘trapped’in a local minimum can be rapidly stopped to avoid reduction in imagequality.

According to the present invention described in claims 3 and 11, themagnitude of quantization error of the entire macroblock image to encodeis estimated using the assessment value obtained by a motion vectorsearch at the time of inter-frame prediction, and flatness andquantization error for each block image are detected when performinginter-frame coding for a block image of a partitioned macroblock image.Then, existence of a block image having visually noticeable noise isjudged from the detected comparison of flatness and quantization errorwhen the estimated quantization error is less than a predetermined valueand intra-frame coding is selected if an applicable block image exists.

Meanwhile, existence of a block image having visually noticeable noiseis judged from an estimated quantization error when the estimatedquantization error is greater than a predetermined value and intra-framecoding is selected if an applicable block image exists.

Accordingly, even though the frequency of usage has been low in thepast, the excessive number of calculations in intra-predictionprocessing (refer to FIG. 14) which are performed for codingdetermination can be omitted, whereby wasteful calculations will not beperformed and coding modes can be determined at a faster speed in viewof human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable, quantization error propagation when ‘trapped’ in alocal minimum can be rapidly stopped to avoid reduction in imagequality.

According to the present invention described in claims 4 and 12, themagnitude of quantization error of the entire macroblock image to encodeis estimated using the assessment value obtained by a motion vectorsearch at the time of inter-frame prediction, as well as flatness andquantization error for each block image are detected when performinginter-frame coding for a block image of a partitioned macroblock image.Then, existence of a block image having visually noticeable noise isjudged from the comparison of detected flatness and quantization errorwhen the estimated quantization error is less than a predetermined valueand intra-frame coding is selected if an applicable block image exists.

Meanwhile, existence of a block image having visually noticeable noiseis judged from an estimated quantization error when the estimatedquantization error is greater than a predetermined value and intra-framecoding is selected if an applicable block image exists.

Accordingly, even though the frequency of usage has been low in thepast, the excessive number of calculations in intra-predictionprocessing (refer to FIG. 14) which are performed for codingdetermination can be omitted, whereby wasteful calculations will not beperformed and coding modes can be determined at a faster speed in viewof human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable noise, quantization error propagation when ‘trapped’in a local minimum can be rapidly stopped to avoid reduction in imagequality.

According to the present invention described in claims 5 and 13, themagnitude of quantization error of the entire macroblock image to encodeis estimated using the assessment value obtained by a motion vectorsearch at the time of inter-frame prediction, flatness is calculated foran entire macro block image and the flatness is judged as to whether ornot there is visually noticeable noise when the estimated quantizationerror is less than a predetermined value, wherein if there is novisually noticeable noise selects inter-frame coding and conversely, ifthere is visually noticeable noise selects intra-frame coding.

Meanwhile, visually noticeable noise is judged as to whether or notpresent in the macroblock image from the estimated quantization errorwhen the estimated quantization error is greater than a predeterminedvalue, wherein if there is no visually noticeable noise selectsinter-frame coding and conversely, if there is visually noticeable noiseselects intra-frame coding.

Accordingly, even though the frequency of usage has been low in thepast, the excessive number of calculations in intra-predictionprocessing (refer to FIG. 14) which are performed for codingdetermination can be omitted, whereby wasteful calculations will not beperformed and coding modes can be determined at a faster speed in viewof human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable noise, quantization error propagation when ‘trapped’in a local minimum can be rapidly stopped to avoid reduction in imagequality.

According to the present invention described in claims 7 and 15, as theassessment value obtained by a motion vector search at the time of theinter-frame prediction, the Sum of Absolute Differences is used whendetecting a motion vector with the highest correlation. As a result,because the magnitude of quantization error of an entire macroblockimage to encode is estimated, the operations which calculate thequantization error of an entire macroblock image can be omitted.

According to the present invention described in claims 8 and 16, themagnitude of quantization error of the entire macroblock image isdetected, as well as flatness and quantization error for each block aredetected when performing inter-frame coding by a block image of apartitioned macroblock image. Then, existence of a block image havingvisually noticeable noise is judged from the comparison of detectedflatness and quantization error when the quantization error is less thana predetermined value and intra-frame coding is selected if anapplicable block image exists.

Meanwhile, existence of a block image having visually noticeable noiseis judged while considering the magnitude of a motion vector obtained byinter-frame prediction when the quantization error of the entiremacroblock image detected by the detection means is greater than apredetermined value and selecting intra-frame coding if an applicableblock image exists.

Accordingly, even though the frequency of usage has been low in thepast, the excessive number of calculations in intra-predictionprocessing (refer to FIG. 14) which are performed for codingdetermination can be omitted, whereby wasteful calculations will not beperformed and coding modes can be determined at a faster speed in viewof human visual characteristics.

Also, because intra-frame coding is immediately selected if there isvisually noticeable noise, quantization error propagation when ‘trapped’in a local minimum can be rapidly stopped to avoid reduction in imagequality.

Human visual characteristics are categorized into a spatial visual sensecharacteristic and a temporal visual sense characteristic in relation tospace and time, respectively. As for the spatial visual characteristic,it is known that sensitivity relative to gradation is higher than forresolution in flat portions of an image and conversely, sensitivityrelative to resolution is higher than for gradation in a non-flatportions. Accordingly, when video is regarded as a sequence of stillimages, it is necessary to take into consideration the spatial visualsense characteristic.

Incidentally, since a quantization error is produced when encoding andadded to a prediction image after inverse DCT is performed, thequantization error will ultimately remain in each pixel of the decodedimage obtained by adding a decoding differential signal to theprediction image. When the difference value for each pixel produced inthe process of encoding and decoding is added to each block, thisreflects the amount of noise generated in these blocks.

As mentioned above, sensitivity of gradation is higher than forresolution in flat portions of an image. When the amount of noise iscompared with commensurate blocks, the noise becomes visually noticeableto the extent that flatness of the image is higher. Specifically,although the noise in flat portions, such as, “human skin”, “sky”,“ground surface”, etc. is noticeable, noise in flat portions, such as“audience seating”, “forest”, etc. is not noticeable. Accordingly, it ispossible to estimate whether or not there is visually noticeable noisegenerated in a block by detecting the amount of noise and flatness ineach block.

Based on such knowledge, the present invention judges whether or notvisually noticeable noise exists in the current macroblock to encode andintra-frame coding is performed only if visually noticeable noiseexists. In this manner, wasteful calculations will not be performed andcoding modes can be determined at a faster speed in view of human visualcharacteristics. Moreover, as described later, quantization errorpropagation when ‘trapped’ in a local minimum can be rapidly stopped toavoid reduction in image quality.

The above and further novel features of the present invention will morefully appear from the following detailed description when the same isread in conjunction with the accompanying drawings. It is to beexpressly understood, however, that the drawings are for the purpose ofillustration only and are not intended as a definition of the limits ofthe invention.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram showing the configuration of the firstpreferred embodiment of the present invention;

FIG. 2 is a graph for illustrating the corresponding comparison betweenthe minSAD value (x-axis) of an ordinary image, for example, a broadcastimage, and the quantization error total amount Σ Noise (y-axis);

FIG. 3 is a plotted graph showing macroblock flatness Flat/minSAD valueswith visually noticeable noise and macroblock flatness Flat/minSADvalues without visually noticeable noise;

FIG. 4 is a flow chart showing operations of the encoding determinationprocessing according to the first preferred embodiment;

FIG. 5 is a flow chart showing operations of the inter D&Q processingaccording to the first preferred embodiment;

FIG. 6 is a flow chart showing operations of the encoding determinationprocessing according to the second preferred embodiment;

FIG. 7 is a flow chart showing operations of the encoding determinationprocessing according to the third preferred embodiment;

FIG. 8 is a flow chart showing operations of the encoding determinationprocessing according to the fourth preferred embodiment;

FIG. 9 is a block diagram showing the configuration of a motion pictureencoding device of a conventional prior art example;

FIG. 10 is a flow chart showing operations of the encoding determinationprocessing of a conventional prior art example;

FIG. 11 is a flow chart showing operations of the inter-predictionprocessing of a conventional prior art example;

FIG. 12 is a flow chart showing operations of the MV search processingof a conventional prior art example;

FIG. 13 is a diagram showing the association between a 16×16 pixelmacroblock and a 4×4 pixel block;

FIG. 14 is a flow chart showing operations of the intra-predictionprocessing of a conventional prior art example; and

FIG. 15 is a flow chart showing operations of the inter D&Q processingof a conventional prior art example.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Hereinafter, the preferred embodiments of the present invention will bedescribed in detail with reference to the drawings.

A. First Preferred Embodiment

A-1. Configuration

FIG. 1 is a block diagram showing the outline configuration of a motionpicture encoding device according to the first preferred embodiment. Inthe motion picture encoding device of FIG. 1, the same nomenclature isappended to the constituent elements which are common in theconventional prior art example shown in FIG. 9 and explanation isomitted.

The differences between the motion picture encoding device shown in FIG.1 and the conventional prior art example in FIG. 9 are that a flatnesscalculation section 30 and a noise calculation section 40 are newlyprovided, and the determination section 21 selects either intra-framecoding or inter-frame coding according to each output of the flatnesscalculation section 30 and the noise calculation section 40.

The flatness calculation section 30 calculates flatness by applying thewell-known Hadamard transform (also known as Walsh-Hadamard transform)to the macroblock image (the current macroblock) inputted as a codingobject. Specifically, the sum absolute value of the harmonic contentcoefficient of a Hadamard coefficient is obtained by performing Hadamardtransform on each of the 4×4 pixel blocks of a 16×16 pixel currentmacroblock partitioned into 16 sub-macroblocks to calculate the flatnessfor each block as Flat(0)˜Flat(15). Furthermore, the current macroblockflatness Flat is obtained from the sum total for each of these blocksFlat(0)˜Flat(15).

In addition, flatness Flat is calculated by 4×4 pixel blocks based onthe following three reasons:

1) There are predominantly a lesser number of calculations in the way ofperforming Hadamard transform 16 times for 4×4 pixel blocks rather thanfor performing Hadamard transform for a 16×16 pixel macroblock.

2) As for 4×4 pixel Hadamard transform, sufficient resolution can beobtained in the flatness assessment that the present invention intendsalthough square wave resolution drops to ¼ as compared with 16×16Hadamard transform.

3) Since integer DCT is used for 4×4 pixel sub-blocks in orthogonaltransform of the H.264 standard, the calculation buffer whichtemporarily stores the sub-block pixel values can also be shared for usein flatness calculation.

The noise calculation section 40 extracts a quantization error relativeto overlapping pixel values and generates noise Noise(0)˜(15) for eachblock. The quantization error for each pixel is calculated fromdifference value An (i,j) of the current block pixel value Org (i,j) andthe reference image (motion compensated locally decoded image) pixelvalue ref (i,j), and from difference Zn (i,j) with difference value A′n(i,j) after these are locally decoded. The sum absolute value differenceZn (i,j) becomes noise Noise(0)˜(15) for each 4×4 pixel block.

In the determination section 21, an error status determination isperformed using a minimum Sum of Absolute Differences minSAD(hereinafter, denoted as “minSAD value”) obtained by the motion vectorsearch at the time of inter-prediction as a substitute for thequantization error total amount Σ Noise (noise Noise(0)˜(15) sum total).A first and second coding determination is performed corresponding tothe result of this error status determination.

The error status determination judges whether or not the minSAD value ofthe current macroblock as the coding object is greater than a thresholdvalue TH1 (described later). When the minSAD value is less than thethreshold value TH1 (referred to as “lower” below) according to thiserror status determination, a first coding determination (describedlater) is performed. Conversely, when the minSAD is greater than thethreshold value TH1 (referred to as “higher” below), a second codingdetermination (described later) is performed.

The quantization error total amount Σ Noise will be explained withreference to FIG. 2 concerning the reason for which the minSAD value canbe substituted. FIG. 2 is a graph for illustrating the comparisonbetween them in SADvalue (x-axis) and the quantization error totalamount Σ Noise (y-axis) obtained in a 16×16 pixel macroblock of anordinary image, such as a broadcast image, etc.

As shown in this graph, the minSAD value acquires the value whichinvariably exceeds the quantization error total amount Σ Noise borderingon the linear function K1. Therefore, even when the minSAD value issubstituted for the quantization error total amount Σ Noise, there is nopossibility of overlooking an actual quantization error and proves thata general error difference determination can be sufficiently tolerated.Moreover, an increase in the number of calculations is also avoidable bysubstituting the minSAD value for the quantization error total amount ΣNoise.

However, even when the quantization error (minSAD value) is judged to belower by the error status determination of the determination section 21,visually noticeable noise exists in some pixels of the macroblock andthe possibility remains that this may be the result of a quantizationerror with other pixels in an equally lower positions.

Therefore, in the determination section 21, a first coding determinationis performed which takes into consideration both noise “Noise” andflatness “Flat” extracted by a 4×4 pixel block of a macroblockpartitioned into 16 sub-macroblocks. Although these details will bedescribed later, in the first coding determination, the existence ofvisually noticeable noise is judged from noise “Noise” and flatness“Flat”, and intra-frame coding is selected if visually noticeable noiseexists.

On the other hand, when the quantization error (minSAD value) is judgedto be higher by the error status determination, the quantization errormay have been generated not only in some of the pixels but in the entiremacroblock. Therefore, in the determination section 21, a second codingdetermination is performed is performed which takes into considerationthe “minSAD value”, flatness “Flat” and motion vector by a 16×16 pixelmacroblock.

Here, an outline of the second coding determination will be explainedwith reference to FIG. 3. FIG. 3 is a plotted graph showing the flatnessFlat and the minSAD value of macroblocks (black squares in graph) withvisually noticeable noise and the flatness Flat and the minSAD value ofmacroblocks (white circles in graph) without visually noticeable noise,respectively.

The graph shows that in the area greater than the straight dashed line Adrawn in the vicinity of minSAD=“600”, it is possible to discriminatewhether or not there is visually noticeable noise in the extended areausing a linear approximation function shown by the straight line B. Inaddition, the straight dashed line A value is equivalent to thethreshold value TH1 used for the error status determination mentionedabove.

Accordingly, the second coding determination judges whether or not theflatness Flat and the minSAD value of the current macroblock are in theupper side area of the straight line B (extended area with visuallynoticeable noise), and intra-frame coding is selected when in the upperside area of the straight line B.

Incidentally, in cases where the motion vector is large due to movementof an object, camera pan, etc., the current macroblock becomes a blurredimage and the quantization error indicates no visually noticeable noise.Nevertheless, there is a tendency for the minSAD value to become higher.

Consequently, the second coding determination judges whether or not toperform intra-frame coding based on the following formula [1] from thefact that there is a necessity to adaptively change the determinationcontents mentioned above in proportion to the motion vector (u,v) of thecurrent macroblock (Note the symbol “x” denotes multiplication and hasthe same meaning as the symbol “*” (asterisk) also used formultiplication.)minSAD>(1+a×f(mv))×k×Flat  [1]

Additionally, in formula [1] the coefficient a is constant to adjust thecontributive factor of the motion vector, and the coefficient k isconstant equivalent to the inclination of the straight line B mentionedabove. Function f (mv) is the magnitude (u²+v²) of the currentmacroblock motion vector (u, v).

A-2. Operations

Next, the encoding determination operations of the first preferredembodiment according to the above-mentioned configuration will beexplained with reference to FIG. 4˜FIG. 5.

<Operations of the Encoding Determination Processing>

FIG. 4 is a flow chart showing operations of the encoding determinationprocessing executed for each input macroblock. When processing isperformed corresponding to an input macroblock, after initializing eachsection of the device in Step SA1, the flow advances to Step SA2 andinter-prediction processing to estimate the amount of coded data at thetime of inter-frame predictive coding is executed. This inter-predictionprocessing is same as that of the conventional prior art example shownin FIG. 11. MV search processing is performed to search for a motionvector among all of the 4×4 pixel blocks of the 16×16 pixel currentmacroblock partitioned into 16 sub-macroblocks and the minSAD value foreach block is obtained.

Subsequently, in Step SA3, inter D&Q processing to perform inter-framecoding (integer DCT, quantization, inverse quantization and inverseinteger DCT) is executed. Next, in Step SA4, whether or not the minSADvalue obtained in the inter-prediction processing of the above-mentionedStep SA2 exceeds the threshold value TH1 is judged. Accordingly, theabove-mentioned error status determination is executed.

When the quantization error in the error status determination is judgedto be lower, the judgment result becomes “NO” and the flow advances toStep SA5. In Step SA5, whether or not a flag INTRA_FLG (described later)has been set to “1” is judged. The flag INTRA_FLG is a flag generated byinter D&Q processing (described later), which is set to “1” if visuallynoticeable noise exists in the current macroblock. Accordingly, thisStep SA5 is equivalent to the first coding determination mentionedabove.

Because of the flag INTRA_FLG being set to “1” if visually noticeablenoise exists in the current macroblock, the judgment result of Step SA5becomes “YES”. The flow advances to Step SA7 and intra D&Q processing toperform intra-frame coding is executed. Meanwhile, if visuallynoticeable noise does not exist in the current macroblock, the flagINTRA_FLG will not be set to ‘1’. The judgment result of Step SA5becomes “NO” and this processing is completed.

Conversely, in the error status determination of the above-mentionedStep SA4, when the quantization error is judged to be higher, thejudgment result becomes “YES” and the flow advances to Step SA6. In StepSA6, the second coding determination is performed based on the criterionexpressed in formula [1] stated above. Namely, whether or not visuallynoticeable noise exists in the current macroblock is judged whileconsidering the magnitude of the motion vector. If visually noticeablenoise exists, the judgment result becomes “YES,” the flow advances toStep SA7 and executes intra D&Q processing. Conversely, if visuallynoticeable noise does not exist, the judgment result becomes “NO” andthis processing is completed.

<Operations of the Inter D&Q Processing>

Next, the operations of the inter D&Q processing will be explained withreference to FIG. 5. When this processing is executed via Step SA3(refer to FIG. 4), the flow advances to Step SB1 shown in FIG. 5 andwhether or not processing has been completed for all of the 4×4 pixelblocks of a 16×16 pixel current macroblock partitioned into 16sub-macroblocks is judged. When processing has been completed for allthe blocks, the judgment result becomes “YES” and this processing iscompleted. Otherwise, the judgment result becomes “NO” and the flowadvances to Step SB2. In Step SB2, flatness Flat (n) of the currentblock is calculated from the sum absolute value of the harmonic contentcoefficient of a Hadamard coefficient obtained by Hadamard transform foreach block.

Next, in Steps SB3˜SB7, the inter-frame prediction block value ref (i,j)(reference image pixel value) is subtracted from the current block pixelvalue Org (i,j) and then transform processing (integer DCT),quantization processing Q, inverse quantization processing Q-1 andinverse transform processing (inverse integer DCT⁻¹) are applied to thegenerated prediction error signal (difference value An (i,j)).Subsequently, in Step SB8, the quantization error relative tooverlapping pixel values is extracted from the above-mentioneddifference value An (i,j), as well as the difference Zn (i,j) with thedifference value A′n (i,j) after these are locally decoded. Further, thesum absolute value difference Zn (i,j) is calculated for the currentblock noise Noise (n). Also, in Step SB8, the quantization error maximumvalue max Noise (n) within the 4×4 pixels that constitute the currentblock is detected. Then, in Step SB9, stepping of the inter-frameprediction block value ref (i,j) is performed.

Next, in Step SB10, the above-mentioned first coding determination isexecuted for judging the existence of visually noticeable noise, namely,the current block noise Noise value (n) is greater than a thresholdvalue TH2, the current block flatness Flat(n) is less than a thresholdvalue TH3 and the quantization error maximum value max Noise (n) is lessthan a threshold value TH10.

If visually noticeable noise exists, the judgment result becomes “YES”and the flow advances to Step SB11. After setting the flag INTRA_FLG to“1”, processing reverts to Step SB1. Conversely, when no visuallynoticeable noise exists, the judgment result becomes “NO” and processingreverts to Step SB1.

Thus, in this first preferred embodiment, the minSAD value obtained bythe motion vector search at the time of inter-prediction is substitutedas the assessment value which represents the quantization error totalamount Σ Noise for the current macroblock made into a coding object. Theerror status determination roughly judges the magnitude of quantizationerror by whether or not this minSAD exceeds the threshold TH1.Subsequently, when the quantization error in this error statusdetermination is deemed to be lower, whether or not there is visuallynoticeable noise in some pixels of the current macroblock is judgedbased on flatness Flat and noise Noise detected in each of the 4×4 pixelblocks of the current macroblock partitioned into 16 sub-macroblocks. Ifthere is visually noticeable noise, intra-frame coding is selected.Meanwhile, when the quantization error in this error statusdetermination is deemed to be higher, whether or not visually noticeablenoise exists in the current macroblock is judged while considering themagnitude of the motion vector. If there is visually noticeable noise,intra-frame coding is selected.

Accordingly, although the former frequency of usage is low, the immensenumber of calculations in intra-prediction processing (refer to FIG. 14)which are executed for coding determination can be omitted. As a result,wasteful calculations will not be performed and coding modes can bedetermined at a faster speed in view of human visual characteristics.

Also, because intra-frame coding is immediately selected when judgedthere is visually noticeable noise in the current macroblock based onflatness Flat and noise Noise, quantization error propagation when‘trapped’ in a local minimum can be rapidly stopped to avoid reductionin image quality.

B. Second Preferred Embodiment

Next, the operations of the encoding determination processing accordingto the second preferred embodiment will be explained with reference toFIG. 6. When processing is performed corresponding to an inputmacroblock similar to the above-mentioned first preferred embodiment andafter initializing each section of the device in Step SC1, the flowadvances to Step SC2 and inter-prediction processing to estimate theamount of coded data at the time of inter-frame prediction processingcoding is executed. The minSAD for each of the 4×4 pixel blocks of the16×16 pixel current macroblock partitioned into 16 sub-macroblocks isobtained.

Subsequently, in Step SC3, an error status determination is performed tojudge whether or not the minSAD value obtained in the inter-predictionprocessing of the above-mentioned Step SC2 exceeds the threshold valueTH1 and after all the quantization error is lower. When the quantizationerror is judged to be lower, the judgment result becomes “NO” and theflow advances to Step SC4. In Step SC4, while performing inter-framecoding, whether or not visually noticeable noise exists in some of thepixels of the current macroblock is judged based on flatness Flat andnoise Noise detected in each of the 4×4 pixel blocks. If there isvisually noticeable noise, inter D&Q processing (refer to FIG. 5) whichsets the flag INTRA_FLG to “1” is executed.

In Step SC5, whether or not visually noticeable noise has been detectedin the inter D&Q processing of the above-mentioned Step SC4 is judged,namely, whether or not the flag INTRA_FLG has been set to “1”. Ifvisually noticeable noise has been detected, the judgment result becomes“YES”. The flow advances to Step SC6 and the intra D&Q processing toperform intra-frame coding is executed. Conversely, if visuallynoticeable noise has not been detected, the judgment result of Step SC5becomes “NO” and this processing is completed.

Meanwhile, when the quantization error is judged to be higher, thejudgment result of the above-mentioned Step SC3 becomes “YES” and theflow advances to Step SC7. In Step SC7, similar to the first preferredembodiment, whether or not visually noticeable noise exists in thecurrent macroblock is judged while considering the magnitude of themotion vector based on the criterion expressed in above-mentionedformula [1]. If visually noticeable noise does not exist in the currentmacroblock, the judgment result becomes “NO” and the flow advances toStep SC8.

In Step SC8, inter D&Q processing (refer to FIG. 15) to performinter-frame coding is executed. Meanwhile, if visually noticeable noisedoes exist in the current macroblock, the judgment result of theabove-mentioned Step SC7 becomes “YES”. The flow advances to Step SC6and intra-frame D&Q processing is executed to perform intra-frame codingand this processing is completed.

Thus, in the second preferred embodiment, the minSAD value obtained bythe motion vector search at the time of inter-prediction is substitutedas the assessment value which represents the quantization error totalamount Σ Noise for the current macroblock made into a coding object. Theerror status determination roughly judges the magnitude of quantizationerror by whether or not this minSAD exceeds the threshold TH1.Subsequently, when the quantization error in this error statusdetermination is deemed to be lower, whether or not there is visuallynoticeable noise in some pixels of the current macroblock is judgedbased on flatness Flat and noise Noise detected in each of the 4×4 pixelblocks of the current macroblock partitioned into 16 sub-macroblocks. Ifthere is visually noticeable noise, intra-frame coding is selected.

Meanwhile, when the quantization error in this error statusdetermination is deemed to be higher, whether or not visually noticeablenoise exists in the current macroblock is judged while considering themagnitude of the motion vector. If there is no visually noticeablenoise, inter-frame coding is selected. Conversely, if there is visuallynoticeable noise, intra-frame coding is selected.

Accordingly, similar to the first preferred embodiment, the immensenumber of calculations in intra-prediction processing (refer to FIG. 14)which are executed for coding determination can be omitted. As a result,wasteful calculations will not be performed and coding modes can bedetermined at a faster speed in view of human visual characteristics.Also, because intra-frame coding is immediately selected when judgedthere is visually noticeable noise in the current macroblock based onflatness Flat and noise Noise, quantization error propagation when‘trapped’ in a local minimum can be rapidly stopped to avoid reductionin image quality.

C. Third Preferred Embodiment

Next, the operations of the encoding determination processing accordingto the third preferred embodiment will be explained with reference toFIG. 7. When processing is performed corresponding to an inputmacroblock similar to the above-mentioned first preferred embodiment andafter initializing each section of the device in Step SD1, the flowadvances to Step SD2 and inter-prediction processing to estimate theamount of coded data at the time of inter-frame prediction processingcoding is executed. The minSAD for each of the 4×4 pixel blocks of the16×16 pixel current macroblock partitioned into 16 sub-macroblocks isobtained. Subsequently, in Step SD3, an error status determination isperformed to judge whether or not the minSAD value obtained in theinter-prediction processing of the above-mentioned Step SD2 exceeds thethreshold value TH1, namely, the quantization error is lower.

When quantization error is judged to be lower by the error statusdetermination, the judgment result becomes “NO” and the flow advances toStep SD4. In Step SD4, the current macroblock flatness Flat iscalculated from the sum absolute value of the harmonic contentcoefficient of a Hadamard coefficient obtained by Hadamard transform foreach 4×4 pixel block. Next, in Step SD5, whether or not the calculatedflatness Flat is less than the threshold value TH3 is judged, namely,flatness in which there is visually noticeable noise.

If the flatness Flat has no visually noticeable noise, the judgmentresult becomes “NO” and the flow advances to Step SD8, which executesinter D&Q processing (refer to FIG. 15) to perform inter-frame coding(integer DCT, quantization, inverse quantization and inverse integerDCT). Conversely, if the flatness Flat has visually noticeable noise,the judgment result of the above-mentioned Step SD5 becomes “YES” andthe flow advances to Step SD6 and executes intra D&Q processing toperform intra-frame coding.

Meanwhile, when the quantization error is judged to be higher, thejudgment result of the above-mentioned Step SD3 becomes “YES” and theflow advances to Step SD7. In Step SD7, similar to the first preferredembodiment, whether or not visually noticeable noise exists in thecurrent macroblock is judged while considering the magnitude of themotion vector based on the criterion expressed in the above-mentionedformula [1]. If visually noticeable noise does not exist in the currentmacroblock, the judgment result becomes “NO”, the flow advances to StepSD8 and executes inter D&Q processing (refer to FIG. 15) to performinter-frame coding.

Conversely, if visually noticeable noise does exist in the currentmacroblock, the judgment result of the above-mentioned Step SD7 becomes“YES”. The flow advances to Step SD6 and executes inter D&Q processingto perform intra-frame coding and this processing is completed.

Thus, in the third preferred embodiment, the minSAD value obtained bythe motion vector search at the time of inter-prediction is substitutedas the assessment value which represents the quantization error totalamount Σ Noise for the current macroblock made into a coding object. Theerror status determination roughly judges the magnitude of quantizationerror by whether or not this minSAD exceeds the threshold TH1.Accordingly, when the quantization error is deemed to be lower, thecurrent macroblock flatness Flat is calculated and whether or not thereis visually noticeable noise is judged. If there is no visuallynoticeable noise, inter-frame coding is selected. Conversely, if thereis visually noticeable noise, intra-frame coding is selected.

Meanwhile, when the quantization error is deemed to be higher, whetheror not visually noticeable noise exists in the current macroblock isjudged while considering the magnitude of the motion vector. If there isno visually noticeable noise, inter-frame coding is selected.Conversely, if there is visually noticeable noise, intra-frame coding isselected.

Accordingly, similar to the first preferred embodiment, the immensenumber of calculations in intra-prediction processing (refer to FIG. 14)which are executed for coding determination can be omitted. As a result,wasteful calculations will not be performed and coding modes can bedetermined at a faster speed in view of human visual characteristics.Furthermore, because intra-frame coding is immediately selected if thereis visually noticeable noise, quantization error propagation whentrapped in a local minimum can be rapidly stopped to avoid reduction inimage quality.

D. Fourth Preferred Embodiment Next, the operations of the encodingdetermination processing according to the fourth preferred embodimentwill be explained with reference to FIG. 8. When processing is performedcorresponding to an input macroblock similar to the above-mentionedfirst preferred embodiment and after initializing each section of thedevice in Step SE1, the flow advances to Step SE2 and inter-predictionprocessing to estimate the amount of coded data at the time ofinter-frame predictive coding is executed. Next, in Step SE3, whileperforming inter-frame predictive coding, whether or not visuallynoticeable noise exists in some of the pixels of the current macroblockis judged based on flatness Flat and noise Noise detected in each of the4×4 pixel blocks. If there is visually noticeable noise, inter D&Qprocessing (refer to FIG. 5) which sets the flag INTRA_FLG to “1” isexecuted.

Next, in Step SE4, the sum total of noise Noise is obtained in the interD&Q processing of the above-mentioned Step SE3. Specifically, whether ornot the quantization error total amount Σ Noise in the currentmacroblock exceeds the threshold value TH1 is judged, namely, thequantization error total amount Σ Noise is lower. When the quantizationerror total amount Σ Noise is judged to be lower, the judgment resultbecomes “NO” and the flow advances to Step SE5. In Step SE5, whether ornot virtually noticeable noise has been detected in the inter D&Qprocessing of the above-mentioned Step SE3 is judged, namely, whether ornot the flag INTRA_FLG has been set to “1”. If visually noticeable noisehas been detected, the judgment result becomes “YES”. The flow advancesto Step SE7 and inter D&Q processing to perform intra-frame coding isexecuted. Conversely, if noise visually noticeable noise has not beendetected, the judgment result of Step SE5 becomes “NO” and thisprocessing is completed.

Meanwhile, when the quantization error total amount ΣNoise is judged tobe higher, the judgment result of the above-mentioned Step SE4 becomes“YES” and the flow advances to Step SE7. In Step SE7, whether or notvisually noticeable noise exists in the current macroblock is judgedwhile considering the magnitude of the motion vector, based on thecriterion expressed in the following formula [2].ΣNoise >(1+a×f(mv))×k×Flat  [2]

Additionally, in formula [2] the coefficient a is constant to adjust thecontributive factor of the motion vector, and the coefficient k isconstant equivalent to the inclination of the straight line B mentionedabove. Function f (mv) is the size (u² +v²) of the current macroblockmotion vector (u, v).

If there is visually noticeable noise, the judgment result of theabove-mention Step SE6 becomes “YES”. The flow advances to Step SE7 andintra D&Q processing to perform intra-frame coding is executed.Conversely, if there is no visually noticeable noise, the judgmentresult becomes “NO” and this processing is completed.

Thus, in the fourth preferred embodiment, the magnitude of quantizationerror of the current macroblock is judged by whether or not thequantization error total amount Σ Noise exceeds the threshold TH1. Whenthe quantization error is lower, whether or not there is visuallynoticeable noise in some pixels of the current macroblock is judgedbased on flatness Flat and noise Noise detected in each of the 4×4 pixelblocks of the current macroblock partitioned into 16 sub-macroblocks. Ifthere is visually noticeable noise, intra-frame coding is selected.

Meanwhile, when the quantization error is deemed to be higher, whetheror not visually noticeable noise exists in the current macroblock isjudged while considering the magnitude of the motion vector. If there isvisually noticeable noise, intra-frame coding is selected.

Accordingly, similar to the first preferred embodiment, the immensenumber of calculations in intra-prediction processing (refer to FIG. 14)which are executed for coding determination can be omitted. As a result,wasteful calculations will not be performed and coding modes can bedetermined at a faster speed in view of human visual characteristics.

Also, because intra-frame coding will be immediately selected whenjudged there is visually noticeable noise in the current macroblockbased on flatness Flat and noise Noise, quantization error propagationwhen ‘trapped’ in a local minimum can be rapidly stopped to avoidreduction in image quality.

Furthermore, although the processing program of the motion pictureencoding device which is a preferred embodiment of the present inventionis stored in the memory (for example, ROM, etc.) of the motion pictureencoding device, this processing program is stored on acomputer-readable medium and should also be protected in the case ofmanufacturing, selling, etc. of only the program. In that case, themethod of protecting the program with a patent will be realized by theform of the computer-readable medium on which the motion pictureencoding processing program is stored.

While the present invention has been described with reference to thepreferred embodiments, it is intended that the invention be not limitedby any of the details of the description therein but includes all theembodiments which fall within the scope of the appended claims.

1. A motion picture encoding device which selects either interframecoding or intraframe coding to perform video compression, comprising: amotion compensation error detection means for detecting motioncompensation error upon interframe prediction; a detection means fordetecting flatness of a macroblock image; and an encoding determinationmeans for comparing the motion compensation error to flatness of amacroblock multiplied by a coefficient, when the motion compensationerror detected by the motion compensation error detection means isgreater than a first predetermined value during inter-frame coding by amacroblock image unit, and selecting intra-frame coding if the motioncompensation method is greater.
 2. The motion picture encoding deviceaccording to claim 1, wherein the coefficient varies in proportion tothe magnitude of a motion vector.
 3. The motion picture encoding deviceaccording to claim 1, further comprising: a partitioning means forobtaining block images by partitioning a macroblock image; a block imagedetermination means for determining whether or not a block image hasvisually noticeable noise by detection of smoothness and quantizationerror of the block image and comparison with a second predeterminedvalue of the detected quantization error and a third predetermined valueof flatness, respectively; and wherein the encoding determination meansselects intra-frame coding when the motion compensation error detectedby the motion compensation error detection means is less than the firstpredetermined value, and when determined by the block imagedetermination means that a block image of any within the macroblock is ablock image having visually noticeable noise.
 4. The motion pictureencoding device according to claim 1, wherein the encoding determinationmeans selects intra-frame coding by comparison with a fourthpredetermined value of flatness for a macroblock detected by thedetection means, when the motion compensation error detected by themotion compensation error detection means is less than the firstpredetermined value.
 5. A motion picture encoding method which selectseither interframe coding or intraframe coding to perform videocompression, comprising the steps of: motion compensation errordetection processing for detecting motion compensation error uponinterframe prediction; detection processing for detecting flatness of amacroblock image; and encoding determination processing for comparingthe motion compensation error to flatness of a macroblock multiplied bya coefficient, when the motion compensation error detected by the motioncompensation error detection processing step is greater than a firstpredetermined value during inter-frame coding by a macroblock imageunit, and selecting intra-frame coding if the motion compensation methodis greater.
 6. The motion picture encoding method according to claim 5,wherein the coefficient varies in proportion to the magnitude of amotion vector.
 7. The motion picture encoding method according to claim5, further comprising the steps of: partition processing for obtainingblock images by partitioning a macroblock image; block imagedetermination processing for determining whether or not a block imagehas visually noticeable noise by detection of smoothness andquantization error of the block image and comparison with a secondpredetermined value of the detected quantization error and a thirdpredetermined value of flatness, respectively; and wherein the encodingdetermination processing step selects intra-frame coding when the motioncompensation error detected by the motion compensation error detectionprocessing step is less than the first predetermined value, and whendetermined by the block image determination processing step that a blockimage of any within the macroblock is a block image having visuallynoticeable noise.
 8. The motion picture encoding method according toclaim 5, wherein the encoding determination processing step selectsintra-frame coding by comparison with a fourth predetermined value offlatness for a macroblock detected by the detection processing step,when the motion compensation error detected by the motion compensationerror detection processing step is less than the first predeterminedvalue.
 9. A computer program product for a motion picture encodingprocessing program stored on a computer-readable medium which selectseither interframe coding or intraframe coding to perform videocompression, the computer program product comprising the steps of:motion compensation error detection process for detecting motioncompensation error upon interframe prediction; detection process fordetecting flatness of a macroblock image; and encoding determinationprocessing for comparing the motion compensation error to flatness of amacroblock multiplied by a coefficient, when the motion compensationerror detected by the motion compensation error detection processingstep is greater than a first predetermined value during inter-framecoding by a macroblock image unit, and selecting intra-frame coding ifthe motion compensation method is greater.
 10. The computer programproduct according to claim 9, wherein the coefficient varies inproportion to the magnitude of a motion vector.
 11. The computer programproduct according to claim 9, further comprising the steps of: partitionprocessing for obtaining block images by partitioning a macroblockimage; block image determination processing for determining whether ornot a block image has visually noticeable noise by detection ofsmoothness and quantization error of the block image and comparison witha second predetermined value of the detected quantization error and athird predetermined value of flatness, respectively; and wherein theencoding determination processing step selects intra-frame coding whenthe motion compensation error detected by the motion compensation errordetection processing step is less than the first predetermined value,and when determined by the block image determination processing stepthat a block image of any within the macroblock is a block image havingvisually noticeable noise.
 12. The computer program product according toclaim 9, wherein the encoding determination processing step selectsintra-frame coding by comparison with a fourth predetermined value offlatness for a macroblock detected by the detection processing step,when the motion compensation error detected by the motion compensationerror detection processing step is less than the first predeterminedvalue.